Unlock E-commerce Growth with
HONAMA Dynamic Pricing
Unlock E-commerce Growth with
HONAMA Dynamic Pricing
Don't let uncertainty hold you back! With the HONAMA application,
you no longer have to struggle between maximizing profit and staying competitive. We take on the burden, so you can focus on what really matters:
the growth of your business.
always makes good decisions
always tries good price ranges
able to give recommendations even with few data points
highly robust
strong and safe price discovery property
entirely autonomous (no manual settings or any administration needed)
very fast
able to react to micro and macro trends
able to consider the time dimension deeply
consider item importance from complex standpoints (not only how much profit per unit time the item generates but demand gravity and more)
entirely stateless decision (considering sales data only without storing any extra values) that makes it highly scalable in parallel
served from Google Cloud so no in-house limits of scalability
Discover why you should use our mathematical solution in our articles. For a more in-depth explanation of the benefits, check the Gambling or High level decision? page.
Say goodbye to long hours of pricing headaches!
Imagine the liberating feeling of having a smart system optimize your prices in the background, while you sit back and enjoy the increasing revenue. Our mathematical model is like a reliable business partner who never gets tired and always makes the best decisions for you.
Your time is precious.
Choose relaxation.
Let our app handle the demands, so you can embrace a life beyond endless work.
Find your freedom.
The market is a roller coaster – but now you're in control!
Our application reacts to changes in real-time,
so you always offer the best price.
Feel the confidence that comes with being one step ahead of your competition and maximizing profit from every sale.
Numbers never lie. But human intuition can sometimes lead you astray.
Our model relies on hard data, filtering out noise and randomness to provide the most accurate predictions possible. Sit back and trust the science!
Just think, due to the limited capacity of the human brain, even so seemingly simple thing like trying out all permutations of 20 things per second (how many ways 20 people can sit down around a table) would take 77 billion years, more than 5 times the current age of our universe!
Your data is your most precious asset – and we treat it accordingly.
Rest assured, we do not store sensitive information, and we encrypt sensitive information
to ensure you feel safe. Your success is our success – and trust is the most important foundation for that.
We do not collect or store personal data.
There are many pricing solutions on the market, but most of them only treat the symptoms, not the root causes.
We dig deeper! Our model doesn't simply follow competitors' prices, but understands the psychology behind customer behavior.
Blindly following competitors' prices is like trying to listen to a noisy radio station – you can never tell if it's music or just static.
We seek the clear sound: the real customer needs.
Machine learning alone is not a miracle cure. If there is little data available,
or the system is full of noise, traditional AI just guesses – like spinning a roulette wheel.
We use mathematical models that are accurate even when the conditions are not perfect.
The market is not static, but constantly changing.
A/B tests are slow and one-sided – like trying to compare a snapshot with a motion picture.
Our system adapts in real-time, so you never miss out on opportunities.
Our system is designed for resilience in the face of fluctuating demand. Whether customer interest surges unexpectedly or wanes suddenly, our adaptive model continuously analyzes the situation and dynamically adjusts prices to find the optimal balance for both maximizing seller profit and ensuring customer satisfaction.
No, it won't. Our model monitors not only sales but also how often and at what intervals they occur.
If customers wait for a lower price, it will appear less frequently because the system also optimizes profit and sales frequency.
Our model primarily focuses on customer behavior and profit maximization.
It does not directly consider stock levels. If customers are willing to purchase the product at the suggested price, then our goal is to make that sale.
Our model adapts to seasonal trends within months but also capable to react sudden market dynamics within weeks or even within a day, so it does react to special promotions and always keep prices optimal that is best for the seller and the buyer as well!
Our model reacts quickly to market changes, but not necessarily to competitors' prices, but to customer behavior.
Our goal is not to continuously undercut prices, because that is not good for anyone in the long run.
The point is that your prices are optimized for your customers' willingness to pay. Always maximizing the interest of both the seller and the buyer as well!
Our model detects if sales of a product suddenly decrease.
In this case, the system may automatically suggest a lower price to boost sales again.
Our model intelligently handles the lack of data.
If neither the product's cost nor historical sales data is available, then we do not provide a price recommendation,
because no reliable answer can be given with complete data absence.
However, if the product's cost is provided, but there is no sales data, or only a single price is available, the model suggests a starting price.
This is a smart estimate, which the model then further refines as more data becomes available.
For example, if we purchased a product for $100 and it hasn’t sold yet,
could the model suggest a price of $85 or even $20? Or could it suggest something like $300?
No, the model will never suggest a price below the purchase cost under any circumstances.
It always aims to maximize profit with the greatest possible stability and safety.
In the example above, it will never recommend a price lower than $100.
The upper price limit is adjusted based on demand: if there is strong demand for a product,
the model may gradually increase the price until it detects a decline in sales volume or demand stability.
In this way, the model intelligently adjusts prices in response to market behavior.